Fly London Burn Leather Ankle Boots
39Product details
The Fly London Vaze177fly burn leather women's ankle boots in navy offer a durable and elegant design, crafted from high-quality burn leather for long-lasting wear. These Chelsea-style ankle boots feature elastic side panels for easy slip-on access and a comfortable fit, with a rounded toe and a subtle heel for everyday versatility. The boots are designed with a cushioned insole to provide support during extended use, making them suitable for various casual and semi-formal occasions. Available in US women's sizes 8 to 8.5, they combine practical functionality with a timeless aesthetic, ideal for those seeking reliable footwear. The construction emphasizes resilience and comfort, with attention to detail in stitching and materials to meet premium expectations. This model reflects Fly London's commitment to quality and style in women's fashion.
Exact colour description | Navy blue |
Upper | Leather |
Material | Burn leather |
Target group | Women |
Item number | 62984780 |
Manufacturer | Fly London |
Category | Boots |
Release date | 14.10.2025 |
Colour | Blue |
Exact colour description | Navy blue |
Upper | Leather |
Material | Burn leather |
Sole material | Rubber |
Lining | Fabric |
Target group | Women |
Boot type | Ankle boots |
Shoe size (EU) | 39 |
heel height | 3 cm |
Toe | Round |
Style | Casual |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Boots» category have a defect within the first 24 months?
Source: Digitec Galaxus- Fly LondonNot enough data
- 1.Palladium0 %
- 1.Quechua0 %
- 1.Skechers0 %
- 4.Blundstone0.1 %
Warranty case duration
How many working days on average does it take to process a warranty claim from when it arrives at the service centre until it’s back with the customer?
Source: Digitec Galaxus- Fly LondonNot enough data
- 1.Dr. Martens0 days
- 1.Kamik0 days
- 1.Sorel0 days
- 4.Ugg1 day
Return rate
How often is a product of this brand in the «Boots» category returned?
Source: Digitec Galaxus- Fly LondonNot enough data
- 1.Playshoes3.9 %
- 2.Cat12.3 %
- 3.Skechers17 %
- 4.Quechua17.7 %